According to the Pearson chi2 test
(0.001), there is a statistically significant association between the patients' pathologies and the presence of pain.
Despite that, 7.2 of AAS abusers were younger than25years old but no significant difference was observed between different age groups and prevalence of AAS use with chi2 test
in the present study, but other national studies reported significant difference based on age (4, 12, 22); therefore further studies with larger sample size are required.
Categorical variables were compared in the two areas using Fisher exact test, whereas quantitative variables were compared with Chi2 tests
. Logistic regressions were adjusted for main potential confounders: age, sex, education level, smoking, and body mass index.
The difference between groups was evaluated using a Chi2 test
. Student's t-test, or ANOVA, whichever was appropriate, with a p-value of less than 0.05 being considered significant.
A univariate and bivariate analysis took place, as well as differences in means and proportions with the student's t and the chi2 test
Table 3 The GMM Estimates, Dependent Variable is INF Variables (1) (2) (3) RD -1 175 *** (0.409) ED -2.337 (4.467) ED -1.227 *** (0.427) Tax/GDP -1.395 ** -0.973 -1.514 ** (0.670) (1.104) (0.677) Openness -1.070 *** -1.082 ** -1.023 *** (0.212) (0.540) (0.222) M2/GDP -1.423 -1.403 -1.255 (1.092) (2.054) (1.121) Physical Capital -1.202 *** -0.803 -1.269 *** (0.356) (0.512) (0.367) Constant 29 24 *** 17.76 * 31.39 *** (9.699) (10.22) (10.10) Observations 37 37 37 R-squared 0.628 0.382 0.616 Wald Chi2 Test
98.89 41.37 94.72 Normality Test 1.16(0.56) 2.19(0.33) 1.63 (0.44) End.
In statistics, CHI2 test
is applied to examine independence of two events.
For comparisons between the two groups, we applied the Chi2 test
of independence test.
There was no significant difference was the percentage of Enterococcus faecalis infections (Pearson chi2 test
= 2.9649, p = 0.085).
We will test the impact of loyalty programs on customer loyalty by measuring the percentage of answers, from members and non-member, whose score is equal to or higher than 5 for these five items (on our Likert scale with 7 levels, 4 corresponds to a situation where the consumer is indifferent), then by checking our results with a Chi2 test
if the differences obtained are significant.
The purpose of carrying out a Chi2 test
is to determine the existence of statistically significant differences and the relation of independence in the foods sector.
In order to establish any association between the level of pain and the drugs administration, was used the Chi2 test
of associaton (independency).